This article discusses the transformative role of spatial metabolomics in advancing research on "food-medicine homology." By ...

A research team led by experts at the University of California, Riverside, has developed a computational workflow for analyzing massive data sets in metabolomics, the study of tiny chemicals found ...

ML and AI aren’t a magic wand, but when paired with high-quality data, they’re a game changer. In forensics, and especially ...

Scientists have discovered a more robust way of grouping chemicals and using read-across for toxicological data to meet regulatory requirements, which could greatly reduce animal testing. The safety ...